TRINH THANH
-
Ph.D. (Information and Communication Engineering, Shenzhen University, China, 2020)
-
M.Sc. (Information Systems Design, University of Central Lancashire, UK, 2013)
-
B.Sc. (Information Technology, ThuyLoi University, Vietnam, 2007)
Dr. Trinh Thanh is a Lecturer and Researcher at Phenikaa University since 2021, following over a decade as a Researcher at the Vietnam Institute of Geosciences and Mineral Resources. His academic expertise encompasses event-based social networks, content-based recommendation systems, and large-scale data processing.
He has published in top-tier journals including IEEE Access, Multimedia Tools and Applications, Entropy, and Big Earth Data. His work addresses complex challenges in social network analysis, web caching, and geospatial modeling. Dr. Thanh actively mentors student research, contributes to international conferences such as ICISN and RIVF, and serves as a reviewer for journals like Sustainability, Applied Science, and Sensors.
RESEARCH INTERESTS
-
Event-Based Social Networks and Recommendation Systems
-
Web Caching and Information Retrieval
-
Data Processing for Large-Scale Systems
-
Machine Learning in Geoinformatics
SELECTED PUBLICATIONS
- Thanh Trinh, Nhung VT (2022), “A Predictive Paradigm for Event Popularity in Event-Based Social Networks” in IEEEAccess, doi: 10.1109/ACCESS.2022.3225734
- Thanh Trinh. (2022) ‘A comparative analysis of weight-based machine learningmethods for landslide susceptibility mapping in Ha Giang area’, Big Earth Data, 00(00), pp.1–30. doi: 10.1080/20964471.2022.2043520 (ESCI/Scopus-Q1)
- Thanh Trinh, D. Wu, R.L. Wang, and J. Z. Huang, ”An effective content-based event recommendation model,” Multimedia Tools and Applications. 2020. https://doi.org/10.1007/s11042-020-08884-9 (SCI-Q1)
- Thanh Trinh; Wu, D.; Huang, J.Z.; Azhar, M. Activeness and Loyalty Analysis in EventBased Social Networks. Entropy 2020, 22, 119. doi:10.3390/e22010119 (SCI-Q2)
- Thanh Trinh, D.Wu and J. Z. Huang,”C3C: A New Static Content-Based Three-Level Web Cache,” in IEEEAccess, vol. 7, pp. 11796-11808, 2019. doi: 10.1109/ACCESS. 2019.2892761 (SCI-Q1)
- Thanh Trinh,, Duc, L.P., Tran, C.T., Duy, T.T., Emara, T.Z. (2022). A New Stratified Block Model to Process Large-Scale Data for a Small Cluster. In: Dang, N.H.T., Zhang, YD., Tavares, J.M.R.S., Chen, BH. (eds) Artificial Intelligence in Data and Big Data Processing. ICABDE 2021. Lecture Notes on Data Engineering and Communications Technologies, vol 124. Springer, Cham. https://doi.org/10.1007/978-3-030-97610-1_21 (EI)
- Thanh Trinh, Ngoc-Tuan Nguyen, D. Wu, and J. Z. Huang, Tamer Z. Emara ”A new location-based Topic model for Event attendees recommendation” 2019 IEEE RIVF International Conference on Computing&Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), 2019, pp. 1-6. doi: 10.1109/RIVF.2019.8713716 (EI)
- Trinh Thanh,Wu D., Huang J.Z. (2017) A New Static Web Caching Mechanism Based on Mutual Dependency Between Result Cache and Posting List Cache. In: Bouguettaya A. et al. (eds) Web Information Systems Engineering ? WISE 2017. WISE 2017. Lecture Notes in Computer Science, vol 10570. Springer, Cham, doi:/10.1007/978-3-319-68786-5 12 (EI, rank A)
- Thanh Trinh, D.Wu, S. Salloum, T. Nguyen and J. Z. Huang,”A frequency-based gene selection method with random forests for gene data analysis,” 2016 IEEE RIVF International Conference on Computing & Communication Technologies, Research, Innovation, and Vision for the Future (RIVF), Hanoi, 2016, pp. 193-198. http://ieeexplore.ieee.org/document/7800293/ (EI)
PROFESSIONAL CERTIFICATIONS
-
Certificate in University Teaching
COURSES TAUGHT
- CSE703008 – Database
- CSE702022 – Data Mining
15 Floor, A9 Building
Phenikaa University
Nguyen Van Trac, Yen Nghia
Ha Noi, Viet Nam